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KONAGAbase: a genomic and transcriptomic database for the diamondback moth, Plutella xylostella

Overview of attention for article published in BMC Genomics, July 2013
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Title
KONAGAbase: a genomic and transcriptomic database for the diamondback moth, Plutella xylostella
Published in
BMC Genomics, July 2013
DOI 10.1186/1471-2164-14-464
Pubmed ID
Authors

Akiya Jouraku, Kimiko Yamamoto, Seigo Kuwazaki, Masahiro Urio, Yoshitaka Suetsugu, Junko Narukawa, Kazuhisa Miyamoto, Kanako Kurita, Hiroyuki Kanamori, Yuichi Katayose, Takashi Matsumoto, Hiroaki Noda

Abstract

The diamondback moth (DBM), Plutella xylostella, is one of the most harmful insect pests for crucifer crops worldwide. DBM has rapidly evolved high resistance to most conventional insecticides such as pyrethroids, organophosphates, fipronil, spinosad, Bacillus thuringiensis, and diamides. Therefore, it is important to develop genomic and transcriptomic DBM resources for analysis of genes related to insecticide resistance, both to clarify the mechanism of resistance of DBM and to facilitate the development of insecticides with a novel mode of action for more effective and environmentally less harmful insecticide rotation. To contribute to this goal, we developed KONAGAbase, a genomic and transcriptomic database for DBM (KONAGA is the Japanese word for DBM).

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 2 3%
Japan 1 2%
Brazil 1 2%
Unknown 60 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 25%
Researcher 12 19%
Student > Master 10 16%
Student > Bachelor 5 8%
Professor 4 6%
Other 6 9%
Unknown 11 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 39%
Biochemistry, Genetics and Molecular Biology 12 19%
Environmental Science 2 3%
Engineering 2 3%
Immunology and Microbiology 1 2%
Other 3 5%
Unknown 19 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 July 2013.
All research outputs
#20,656,161
of 25,373,627 outputs
Outputs from BMC Genomics
#8,709
of 11,244 outputs
Outputs of similar age
#157,136
of 206,467 outputs
Outputs of similar age from BMC Genomics
#146
of 189 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 12th percentile – i.e., 12% of its peers scored the same or lower than it.
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We're also able to compare this research output to 189 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.